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 This slide deck in its original and unaltered format is for educational purposes and is
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  should not rely on this information as a substitute for professional medical advice,
diagnosis, or treatment. The use of any information provided is solely at your own risk,
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 patients or employing any therapeutic products described in this educational activity.



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DISCLAIMER
Participants have an implied responsibility to use the newly acquired information
     to enhance patient outcomes and their own professional development. The
    information presented in this activity is not meant to serve as a guideline for
patient management. Any procedures, medications, or other courses of diagnosis
      or treatment discussed or suggested in this activity should not be used by
         clinicians without evaluation of their patients’ conditions and possible
   contraindications on dangers in use, review of any applicable manufacturer’s
 product information, and comparison with recommendations of other authorities.

         DISCLOSURE OF UNLABELED USE
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               use of any agent outside of the labeled indications.

    The opinions expressed in the activity are those of the faculty and do not
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Disclosure of Conflicts of Interest
Thomas F. Gajewski, MD, PhD, reported a financial interest/relationship or affiliation
in the form of: Consultant, Amgen, Bristol-Myers Squibb Company, GlaxoSmithKline
plc, Merck & Co., Inc., Roche Pharmaceuticals, Inc.; Contracted Research, Bristol-
Myers Squibb Company, CureTech Ltd., GlaxoSmithKline plc, Morphotek, Inc.,
Roche-Genentech.
Charles G. Drake, MD, PhD, reported a financial interest/relationship or affiliation in
the form of: Royalty, Amplimmune, Inc., Bristol-Myers Squibb Company; Receipt of
Intellectual Property Rights/Patent Holder, Amplimmune, Inc., Bristol-Myers Squibb
Company; Consultant, Amplimmune, Inc., Bristol-Myers Squibb Company, Dendreon
Corporation, ImmuneXcite, Inc.; Ownership Interest, Amplimmune, Inc.
John Powderly II, MD, CPI, reported a financial interest/relationship or affiliation in
the form of: Receipt of Intellectual Property Rights/Patent Holder, BioCytics, Inc.;
Consulting Fees, Amplimmune, Inc., Bristol-Myers Squibb Company, Genentech
BioOncology; Speakers Bureau, Bristol-Myers Squibb Company; Contracted
Research, Amplimmune, Inc., Bristol-Myers Squibb Company, Genentech
BioOncology; Company Ownership Interest, BioCytics, Inc.
Michael B. Atkins, MD, reported a financial interest/relationship or affiliation in the
form of: Consultant, AstraZeneca Pharmaceuticals LP, AVEO Pharmaceuticals, Inc.,
Bristol-Myers Squibb Company, Genentech BioOncology, Prometheus.
Welcome and Activity
      Overview
  Thomas F. Gajewski, MD, PhD
The University of Chicago Medicine
Learning Objectives
             L
       Upon completion of this activity, participants
               should be better able to:

   Enhance knowledge on the biological foundations of immuno-
    oncology approaches to the treatment of cancer
   Describe the roles, targets, and mechanisms of action of novel and
    emerging immuno-oncologic agents
   Evaluate new safety and efficacy data on recently approved and
    emerging immuno-oncologic agents across tumor types
   Identify unique patterns of clinical response in patients treated with
    immuno-oncologic agents
   Monitor and manage immune-related adverse effects associated
    with immuno-oncologic agents
   Describe how new immuno-oncologic agents are being integrated
    into existing treatment evidence-based guidelines
Activity Agenda
7:30 – 7:35 pm       Welcome and Activity Overview
7:35 – 7:50 pm        Immuno-Oncology: Understanding the Biological
   Foundations of the Immune System in Cancer
7:50 – 8:10 pm       Melanoma: A Classic Tumor Model for Immunotherapy
8:10 – 8:25 pm       The Evolving Role of Immunotherapy for Prostate Cancer
8:25 – 8:40 pm       The Emerging Role of Immunotherapy for Lung Cancer
8:40 – 8:55 pm       Emerging Immunotherapies for Renal Cell Carcinoma
8:55 – 9:15 pm      Interactive Case Studies: Applying Current
   Immunotherapies Into Practice
9:15 – 9:25 pm     Expert Panel Perspectives: Placing Current and
   Emerging Immunotherapies in Clinical Context
9:25 – 9:30 pm       Questions & Answers and Activity Conclusion
Immuno-Oncology:
 Understanding Biological
Foundations of the Immune
    System in Cancer
  Thomas F. Gajewski, MD, PhD
The University of Chicago Medicine
The Genetic Instability of Cancer Cells Creates
           Antigens That Can Be Recognized by the
                        Immune System
                                                         Normal cell presents self peptides
                                                             bound to MHC molecules
                          New peptides
                           created by
                            mutation
                          or increased
                           expression                               Normal cell




                              A point mutation in a self protein allows         A point mutation in a self peptide creates
                            binding of a new peptide to MHC molecules            a new epitope for recognition by T cells




                                            Tumor cell                                         Tumor cell



MHC = major histocompatibility complex.
www.immunoweb.com/tu10.htm
Generation of Tumor Antigens
   Point mutations in normal genes
   Overexpressed normal genes
   Molecular mishaps (reverse strand, intron sequences,
    alternative splicing)
   Embryonic genes
   Tissue-restricted differentiation antigens
   Translocation fusion proteins
   Viral genes
   Alternative glycosylation
Two Principal Means to Promote
           Immune-Mediated Tumor Destruction:
          Cytolytic T Lymphocytes and Antibodies




NK = natural killer.
CD8+ Cytotoxic T Lymphocyte Killing
               an Antigen-Expressing Tumor Cell




       How Do These CD8+ T Cells Initially Become Activated to Fight Tumors?

TCR = T-cell receptor.
Boissonnas et al, 2007.
T Cells Traffic Between the Tissues,
              Lymphatics, and the Blood in Two Major
                        Differentiation States
                          Lymphocytes and        Naïve lymphocytes
                        lymph return to blood    enter lymph nodes
                           via thoracic duct         from blood

                                    heart




                                                Lymph node



                       Antigens from sites of
                                                Infected
                       infection reach lymph                 Tumor
                                                peripheral
                       nodes via lymphatics
                                                tissue
Janeway et al, 2001.
Dendritic Cells (DCs) Pick Up Antigens From
          Infected Tissues and Migrate to Lymph Nodes
           Antigen uptake by           Langerhans’ cells leave the skin
       Langerhans’ cells in the skin   and enter the lymphatic system




                                                                            Langerhans’ cells enter the
                                                                                                           B7-positive dendritic cells
                                                                          lymph node to become dendritic
                                                                                                            stimulate naïve T cells
                                                                               cells expressing B7




       Discovery of dendritic cells by Ralph
       Steinman earned Nobel Prize in 2011




Banchereau et al, 1998.
The Main Costimulatory Receptor on
                 T Cells is CD28, Which Binds to
              B7-1/B7-2 on Activated Dendritic Cells
                                             T cell
                                                                 TCR/CD3   CD28
                                                                 complex
                                                   CD4




                                                                            B7.1
                                                                             or
                                                                            B7.2
                                             APC         MHC class II
APC = antigen presenting cell.
Janeway et al, 1996; Topalian et al, 2011.
Model for CD8+ T-Cell-Mediated Anti-Tumor
            Immune Response In Vivo

                           MHC I            MHC II                                      Immature DC
                                                            Migration From
                                                                Tumor




                                                                                    Tumor                granzymes

                                                                                                  TCR
                                                                                                        eCD8
                         B7



                                                                                                          APC


                         Mature DC




                                                            Lymph Node

                                                                             eCD8
                                                        nCD8                                     Migration From
               Migration to
               Lymph Node                                                                         Lymph Node
                                                                 CD28
                                                     IL-2




Harlin et al, 2009; Gajewski et al, 2006.
Theoretical Reasons for Failure of Immune
        System to Prevent Cancer Outgrowth
             Failure to activate specific T cells
                – Inadequate antigen processing/presentation
                – Insufficient T-cell repertoire
                – Available T cells below activation threshold setpoint
             Ineffective T-cell differentiation into effector cells
             Inadequate expansion of T cells to needed frequency
             Lack of homing of primed T cells to tumor sites
             Immunosuppression in tumor microenvironment
                – CTLA-4 on T cells (inhibitory receptor)
                – PD-1 on T cells (binds PD-L1 on tumor cells)
                – T-cell anergy (deficient B7 costimulation)
                – CD4+CD25+FoxP3+ Tregs (extrinsic suppression)
                – Indoleamine-2,3-dioxygenase (IDO tryptophan catabolism)
Gajewski et al, 2007; Zou, 2005.
Model for CD8+ T-Cell-Mediated Anti-Tumor
     Immune Response In Vivo: Interventions
                                                            TLR ligands                                 Blockade of
                                                                                                        suppression

                            MHC I           MHC II                                      Immature DC
                                                            Migration From
                                                                Tumor




                            Vaccines
                                                                                    Tumor                 granzymes

                                                                                                  TCR
                                                                                                         eCD8
                         B7
                                        Costimulation

                                                                                                           APC

                       Mature DC                                 Cytokines

                                                                                     Chemokines
                                                            Lymph Node

                                                                             eCD8
                                                        nCD8                                      Migration From
                Migration to
                Lymph Node                                                                         Lymph Node
                                                                 CD28
                                                     IL-2



Harlin et al, 2009; Gajewski et al, 2006.
Model for CD8+ T-Cell-Mediated Anti-Tumor
        Immune Response In Vivo: Interventions (cont.)
                                                            TLR ligands                             Blockade of
                                                                                                    suppression

                            MHC I           MHC II                                  Immature DC
                                                            Migration From
                                                                Tumor




                            Vaccines
                                                                                Tumor                 granzymes

                                                                                              TCR
                                                                                                     eCD8
                         B7
                                        Costimulation

                                                                                                       APC

                       Mature DC                                 Cytokines

                                                                                  Chemokines
                                                            Lymph Node

                                                                         eCD8
                                                        nCD8                                  Migration From
                Migration to
                Lymph Node                                                                     Lymph Node
                                                                CD28
                                                     IL-2



Harlin et al, 2009; Gajewski et al, 2006.
Toll-Like Receptors (TLRs)
     First identified in Drosophila as receptor recognizing
      pathogens for innate immunity
     At least 11 mammalian homologues identified
     Expressed on DCs and other APCs
     Mediate activation and maturation of APCs to render
      them optimal for T-cell activation
     Ligands should be excellent vaccine adjuvants


                 Discovery of Innate Immune Sensing Systems by
            Bruce Beutler and Jules Hoffmann Earned Nobel Prize in 2011



Takeda et al, 2004.
TLR Pathway
                         Plants              Drosophila                       Mammals
                                                      PAM
                                                      P
                                                      Protease

                                                                               PAM
                                                            Spätzle            P                IL-1




                                                     Toll                     TLR4              IL-1R
    Extracellular
                          Pathogen
    Cytoplasm             or PAMP                       MyD88         TIRAP     MyD88                  MyD88

          RPP5,
          N, L6



             Immune response                 Immune response                  Immune response


                         Triggers activation of dendritic cells and other APCs

Medzhitov et al, 2001.
Imiquimod for Basal Cell Carcinoma (BCC)
    Imiquimod is a TLR7 agonist that activates DCs
    Randomized clinical trial done in patients with BCC
    100% RR with BID dosing compared to 19% with vehicle
     alone!
    Also active on warts and cutaneous metastases of
     melanoma
    Other TLR ligands are in clinical trials, including CpG 7909
     (TLR9 agonist)
    TLR agonists being combined with tumor antigens in
     cancer vaccines (eg, GSK-Bio MAGE3 vaccine)



RR = response rate.
Sapijaszko, 2005; Goldman et al, 2009.
Key Takeaways
            CD8+ T cells can recognize neoantigens expressed by
             tumor cells
            In order for antigen-specific T cells to become activated
             to differentiate into cytolytic effector cells, they need to
             be stimulated by activated DCs in lymph nodes
            DCs must be activated via innate immune sensing
             pathways (TLRs)
            Activated CTL recirculate and traffic tumor tumors where
             they have a chance to destroy cancer cells
            In cancer, failure can occur at various stages of this
             process, which generates multiple opportunities for
             therapeutic intervention
CTL = cytotoxic T lymphocyte.
Melanoma: A Classic Tumor
 Model for Immunotherapy
   Thomas F. Gajewski, MD, PhD
 The University of Chicago Medicine
Model for CD8+ T-Cell-Mediated Anti-Tumor
        Immune Response In Vivo: Interventions (cont.)
                                                                                                       Blockade of
                                                                                                       suppression
                            MHC I           MHC II                                     Immature DC
                                                               Migration From
                                                               Tumor




                            Vaccines
                                                                                   Tumor                granzymes

                                                                                                 TCR
                                                                                                       eCD8
                         B7
                                        Costimulation

                                                                                                         APC

                       Mature DC                                   Cytokines

                                                                                     Chemokines
                                                            Lymph Node

                                                                            eCD8
                                                        nCD8                                     Migration From
                Migration to
                Lymph Node                                                                       Lymph Node
                                                                   CD28
                                                     IL-2



Harlin et al, 2009; Gajewski et al, 2006.
Model for CD8+ T-Cell-Mediated Anti-Tumor
        Immune Response In Vivo: Interventions (cont.)

                                                                                                       Blockade of
                                                                                                       suppression
                            MHC I           MHC II                                     Immature DC
                                                               Migration From
                                                               Tumor




                            Vaccines
                                                                                   Tumor                granzymes

                                                                                                 TCR
                                                                                                       eCD8
                         B7
                                        Costimulation

                                                                                                         APC

                       Mature DC                                   Cytokines

                                                                                     Chemokines
                                                            Lymph Node

                                                                            eCD8
                                                        nCD8                                     Migration From
                Migration to
                Lymph Node                                                                       Lymph Node
                                                                   CD28
                                                     IL-2



Harlin et al, 2009; Gajewski et al, 2006.
Immunization Modalities
   Antigen delivery strategy
    – Targeting endogenous APCs
       • Synthetic peptides or protein in adjuvant
       • Recombinant viruses, bacteria
       • Irradiated tumor transfectants
       • Antigen/antibody complexes
       • Antigen/TLR ligand fusions
       • Plasmids (CpG oligonucleotides)
    – Ex vivo loaded APCs
       • Peptide, protein, tumor lysates, etc.
   Additional modulators
    – Cytokines, adjuvants, modulatory antibodies
Induction of Specific CTL Responses in Mice Using
     Tumor Antigen Peptide-Loaded PBMC + IL-12


                           PBMC-P1A                PBMC-P1A + IL-12          PBMC + IL-12   PBS
  Percent Specific Lysis




                                                                     E:T Ratio

PBMC = peripheral blood mononuclear cells; IL-12 = interleukin-12.
Fallarino et al, 1999.
Resolution of Subcutaneous Metastases
          Following Immunization With MelanA
            Peptide-Pulsed PBMC + rhIL-12
                     After 3 Vaccines                                                  After 9 Vaccines




                                                ORR ~ 10%, With Another 20% SD


rhIL-12 = recombinant human IL-12; ORR = overall response rate; SD = stable disease.
Peterson et al, 2003.
Vaccination of Patients With Multiple Melanoma
     Antigen Peptides + IL-12 Can Induce High Levels
        of Functional Specific T Cells in the Blood




                        However, only a minority of patients (10%) have clinical responses.
                        (Why? – We will return to this question later [predictive biomarkers])



Peterson et al, 2003.
Model for CD8+ T-Cell-Mediated Anti-Tumor
        Immune Response In Vivo: Interventions (cont.)

                                                                                                       Blockade of
                                                                                                       suppression
                            MHC I           MHC II                                     Immature DC
                                                               Migration From
                                                               Tumor




                            Vaccines
                                                                                   Tumor                granzymes

                                                                                                 TCR
                                                                                                       eCD8
                         B7
                                        Costimulation

                                                                                                         APC

                       Mature DC                                   Cytokines

                                                                                     Chemokines
                                                            Lymph Node

                                                                            eCD8
                                                        nCD8                                     Migration From
                Migration to
                Lymph Node                                                                       Lymph Node
                                                                   CD28
                                                     IL-2



Harlin et al, 2009; Gajewski et al, 2006.
CTLA-4 Blockade for
                                     Immunopotentiation
    CTLA-4 is receptor induced on activated T cells
    Ligation inhibits T cell activation
    CTLA-4 deficient mice develop autoimmunity  dominant role
     is negative
    Two defined ligands expressed largely on APC populations:
     B7-1 and B7-2
    Neutralizing mAbs against CTLA-4 augment T-cell activation
     and promote tumor rejection in several mouse models
    Two anti-CTLA-4 mAbs explored in clinical trials
    Ipilimumab approved by FDA in 2011


CTLA-4 = cytotoxic T lymphocyte antigen-4; mAbs = monoclonal antibodies.
Pardoll, 2012; YervoyTM prescribing information, 2012.
CTLA-4 Is a Negative Regulator
                      of T-Cell Activation


                   Resting T Cell                     Activated T Cell


                                           B7                          B7
                               CD28                            CD28


            T Cell                   TCR        APC   T Cell    TCR         APC
                                                               CTLA4   B7




Pardoll, 2012; Korman et al, 2006.
Randomized Study of Vaccine Vs. Ipilimumab
       Vs. Combination in Advanced Melanoma




Ipi = ipilimumab.
Hodi et al, 2010.
Clinical Response in Melanoma With
           Single Agent Anti-CTLA-4 mAb
                           Screening          Week 12: Progression




                       Week 20: Regression   Week 36: Still Regressing




Wolchok et al, 2008.
T-Cell Infiltration in Skin and Gut
    Following Anti-CTLA-4 mAb Treatment




Sarnaik et al, 2009.
Model for CD8+ T-Cell-Mediated Anti-Tumor
        Immune Response In Vivo: Interventions (cont.)

                                                                                                       Blockade of
                                                                                                       suppression
                            MHC I           MHC II                                     Immature DC
                                                               Migration From
                                                               Tumor




                            Vaccines
                                                                                   Tumor                granzymes

                                                                                                 TCR
                                                                                                       eCD8
                         B7
                                        Costimulation

                                                                                                         APC

                       Mature DC                                   Cytokines

                                                                                     Chemokines
                                                            Lymph Node

                                                                            eCD8
                                                        nCD8                                     Migration From
                Migration to
                Lymph Node                                                                       Lymph Node
                                                                   CD28
                                                     IL-2



Harlin et al, 2009; Gajewski et al, 2006.
IL-2 in Melanoma: RR 16%




Atkins et al, 1999.
Modified gp100 Peptide in Montanide
                +/- Exogenous IL-2
    Additional 19 patients treated with high-dose IL-2
     after gp100 209M vaccination
    In this study, 8 patients (42%) showed objective
     tumor regression
    Suggests IL-2 may help expand relevant T cells or
     support their trafficking
    Caveat: Effect of IL-2 alone?




Rosenberg et al, 1998.
High-Dose IL-2 ± Peptide Vaccine Phase III




Schwartzentruber et al, 2011.
Model for CD8+ T-Cell Mediated Anti-
          Tumor Immune Response In Vivo (cont.)

                                MHC I       MHC II                                     Immature DC
                                                               Migration From
                                                               Tumor




                                                                                   Tumor                granzymes

                                                                                                 TCR
                                                                                                       eCD8
                              B7



                                                                                                         APC

                           Mature DC
                                                      Adoptive T-cell
                                                         therapy

                                                                            eCD8
                                                        nCD8                                     Migration From
                     Migration to
                     Lymph Node                                                                  Lymph Node
                                                                   CD28
                                                     IL-2



Harlin et al, 2009; Gajewski et al, 2006.
Adoptive T-Cell Therapy
   T cells are isolated, from
    tumor site or generated in vitro   Adoptive
                                       transfer
   Ex vivo enrichment and               into
    expansion of antigen-specific       patient               In vitro
    effector T cells                                         expansion
                                                                and
                                                             activation
   T cells are reintroduced back
    to the patient
                                                   T cells
   Usually the patient is                        isolated
    “conditioned” first with lympho                 from
    depleting chemotherapy or                      patient
    other agents




Yee, 2009.
TIL Therapy for Melanoma:
                            Rosenberg Approach
             Tumor harvested, TILs collected and expanded
              for infusion
             In interim, patients receive lymphoablative
              chemotherapy to “make space”
             T cells are transferred and patients are given IL-2
             Results: 6 of 13 patients responded




TILs = tumor-infiltrating lymphocytes.
Dudley et al, 2003.
Phase II Trial: Adoptive-Cell Therapy

       •     Stage IV melanoma (N = 35)
       •     Received autologous, tumor-
             reactive, expanded tumor-
             infiltrating lymphocytes + IL-2
             after
             lymphodepleting conditioning
             with
             cyclophosphamide and
             fludarabine
       •     Results
              – 3 CR; 15 PR (RR: 51%;
                 DOR: 11.5 mos)
              – Adoptively transferred CTLs
                 persisted in several patients
                 > 1 year
       •     > 50% RR has held up with
             further studies
CR = complete response; PR = partial response; RR = response rate; DOR = duration of response.
Dudley et al, 2005.
Model for CD8+ T-Cell-Mediated Anti-Tumor
        Immune Response In Vivo: Interventions (cont.)
                                                                                                       Blockade of
                                                                                                       suppression
                            MHC I           MHC II                                     Immature DC
                                                               Migration From
                                                               Tumor




                            Vaccines
                                                                                   Tumor                granzymes

                                                                                                 TCR
                                                                                                       eCD8
                         B7
                                        Costimulation

                                                                                                         APC

                       Mature DC                                   Cytokines

                                                                                     Chemokines
                                                            Lymph Node

                                                                            eCD8
                                                        nCD8                                     Migration From
                Migration to
                Lymph Node                                                                       Lymph Node
                                                                   CD28
                                                     IL-2



Harlin et al, 2009; Gajewski et al, 2006.
Hypothesis
         Clinical benefit when it does occur with potent cancer vaccines
          (and other immunotherapies) has generally not correlated with
           T cell responses as measured in the blood
         Features of the tumor microenvironment could dominate at the
          effector phase of the anti-tumor T-cell response
            – T-cell trafficking into tumor
            – Immune suppressive mechanisms at tumor site
            – Tumor cell biology and susceptibility to immune-mediated killing
            – Complexities of the tumor stroma (vasculature, fibrosis)
         Reasoned these features could be interrogated through pre-
          treatment gene expression profiling of tumor site in each individual
          patient
         Such an analysis could identify a predictive biomarker profile
          associated with clinical response, and also highlight new biologic
          barriers that need to be overcome to optimize therapeutic efficacy
          of vaccines
Gajewski et al, 2009.
Expression of a Subset of Chemokine Genes Is
         Associated With Presence of CD8 Transcripts




                                             CD8b
                                             CCL2
                                             CCL4
                                             CCL5
                                             CXCL9
                                             CXCL10
                                             CCL19
                                             CCL21




Harlin et al, 2009.
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care
Immuno-Oncology: An Evolving Approach to Cancer Care

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Immuno-Oncology: An Evolving Approach to Cancer Care

  • 1.
  • 2. DISCLAIMER This slide deck in its original and unaltered format is for educational purposes and is current as of June 2012. All materials contained herein reflect the views of the faculty, and not those of IMER, the CME provider, or the commercial supporter. These materials may discuss therapeutic products that have not been approved by the US Food and Drug Administration and off-label uses of approved products. Readers should not rely on this information as a substitute for professional medical advice, diagnosis, or treatment. The use of any information provided is solely at your own risk, and readers should verify the prescribing information and all data before treating patients or employing any therapeutic products described in this educational activity. Usage Rights This slide deck is provided for educational purposes and individual slides may be used for personal, non-commercial presentations only if the content and references remain unchanged. No part of this slide deck may be published in print or electronically as a promotional or certified educational activity without prior written permission from IMER. Additional terms may apply. See Terms of Service on IMERonline.com for details.
  • 3. DISCLAIMER Participants have an implied responsibility to use the newly acquired information to enhance patient outcomes and their own professional development. The information presented in this activity is not meant to serve as a guideline for patient management. Any procedures, medications, or other courses of diagnosis or treatment discussed or suggested in this activity should not be used by clinicians without evaluation of their patients’ conditions and possible contraindications on dangers in use, review of any applicable manufacturer’s product information, and comparison with recommendations of other authorities. DISCLOSURE OF UNLABELED USE This activity may contain discussion of published and/or investigational uses of agents that are not indicated by the FDA. PIM and IMER do not recommend the use of any agent outside of the labeled indications. The opinions expressed in the activity are those of the faculty and do not necessarily represent the views of PIM and IMER. Please refer to the official prescribing information for each product for discussion of approved indications, contraindications, and warnings.
  • 4. Disclosure of Conflicts of Interest Thomas F. Gajewski, MD, PhD, reported a financial interest/relationship or affiliation in the form of: Consultant, Amgen, Bristol-Myers Squibb Company, GlaxoSmithKline plc, Merck & Co., Inc., Roche Pharmaceuticals, Inc.; Contracted Research, Bristol- Myers Squibb Company, CureTech Ltd., GlaxoSmithKline plc, Morphotek, Inc., Roche-Genentech. Charles G. Drake, MD, PhD, reported a financial interest/relationship or affiliation in the form of: Royalty, Amplimmune, Inc., Bristol-Myers Squibb Company; Receipt of Intellectual Property Rights/Patent Holder, Amplimmune, Inc., Bristol-Myers Squibb Company; Consultant, Amplimmune, Inc., Bristol-Myers Squibb Company, Dendreon Corporation, ImmuneXcite, Inc.; Ownership Interest, Amplimmune, Inc. John Powderly II, MD, CPI, reported a financial interest/relationship or affiliation in the form of: Receipt of Intellectual Property Rights/Patent Holder, BioCytics, Inc.; Consulting Fees, Amplimmune, Inc., Bristol-Myers Squibb Company, Genentech BioOncology; Speakers Bureau, Bristol-Myers Squibb Company; Contracted Research, Amplimmune, Inc., Bristol-Myers Squibb Company, Genentech BioOncology; Company Ownership Interest, BioCytics, Inc. Michael B. Atkins, MD, reported a financial interest/relationship or affiliation in the form of: Consultant, AstraZeneca Pharmaceuticals LP, AVEO Pharmaceuticals, Inc., Bristol-Myers Squibb Company, Genentech BioOncology, Prometheus.
  • 5. Welcome and Activity Overview Thomas F. Gajewski, MD, PhD The University of Chicago Medicine
  • 6. Learning Objectives L Upon completion of this activity, participants should be better able to:   Enhance knowledge on the biological foundations of immuno- oncology approaches to the treatment of cancer  Describe the roles, targets, and mechanisms of action of novel and emerging immuno-oncologic agents  Evaluate new safety and efficacy data on recently approved and emerging immuno-oncologic agents across tumor types  Identify unique patterns of clinical response in patients treated with immuno-oncologic agents  Monitor and manage immune-related adverse effects associated with immuno-oncologic agents  Describe how new immuno-oncologic agents are being integrated into existing treatment evidence-based guidelines
  • 7. Activity Agenda 7:30 – 7:35 pm Welcome and Activity Overview 7:35 – 7:50 pm Immuno-Oncology: Understanding the Biological Foundations of the Immune System in Cancer 7:50 – 8:10 pm Melanoma: A Classic Tumor Model for Immunotherapy 8:10 – 8:25 pm The Evolving Role of Immunotherapy for Prostate Cancer 8:25 – 8:40 pm The Emerging Role of Immunotherapy for Lung Cancer 8:40 – 8:55 pm Emerging Immunotherapies for Renal Cell Carcinoma 8:55 – 9:15 pm Interactive Case Studies: Applying Current Immunotherapies Into Practice 9:15 – 9:25 pm Expert Panel Perspectives: Placing Current and Emerging Immunotherapies in Clinical Context 9:25 – 9:30 pm Questions & Answers and Activity Conclusion
  • 8. Immuno-Oncology: Understanding Biological Foundations of the Immune System in Cancer Thomas F. Gajewski, MD, PhD The University of Chicago Medicine
  • 9. The Genetic Instability of Cancer Cells Creates Antigens That Can Be Recognized by the Immune System Normal cell presents self peptides bound to MHC molecules New peptides created by mutation or increased expression Normal cell A point mutation in a self protein allows A point mutation in a self peptide creates binding of a new peptide to MHC molecules a new epitope for recognition by T cells Tumor cell Tumor cell MHC = major histocompatibility complex. www.immunoweb.com/tu10.htm
  • 10. Generation of Tumor Antigens  Point mutations in normal genes  Overexpressed normal genes  Molecular mishaps (reverse strand, intron sequences, alternative splicing)  Embryonic genes  Tissue-restricted differentiation antigens  Translocation fusion proteins  Viral genes  Alternative glycosylation
  • 11. Two Principal Means to Promote Immune-Mediated Tumor Destruction: Cytolytic T Lymphocytes and Antibodies NK = natural killer.
  • 12. CD8+ Cytotoxic T Lymphocyte Killing an Antigen-Expressing Tumor Cell How Do These CD8+ T Cells Initially Become Activated to Fight Tumors? TCR = T-cell receptor. Boissonnas et al, 2007.
  • 13. T Cells Traffic Between the Tissues, Lymphatics, and the Blood in Two Major Differentiation States Lymphocytes and Naïve lymphocytes lymph return to blood enter lymph nodes via thoracic duct from blood heart Lymph node Antigens from sites of Infected infection reach lymph Tumor peripheral nodes via lymphatics tissue Janeway et al, 2001.
  • 14. Dendritic Cells (DCs) Pick Up Antigens From Infected Tissues and Migrate to Lymph Nodes Antigen uptake by Langerhans’ cells leave the skin Langerhans’ cells in the skin and enter the lymphatic system Langerhans’ cells enter the B7-positive dendritic cells lymph node to become dendritic stimulate naïve T cells cells expressing B7 Discovery of dendritic cells by Ralph Steinman earned Nobel Prize in 2011 Banchereau et al, 1998.
  • 15. The Main Costimulatory Receptor on T Cells is CD28, Which Binds to B7-1/B7-2 on Activated Dendritic Cells T cell TCR/CD3 CD28 complex CD4 B7.1 or B7.2 APC MHC class II APC = antigen presenting cell. Janeway et al, 1996; Topalian et al, 2011.
  • 16. Model for CD8+ T-Cell-Mediated Anti-Tumor Immune Response In Vivo MHC I MHC II Immature DC Migration From Tumor Tumor granzymes TCR eCD8 B7 APC Mature DC Lymph Node eCD8 nCD8 Migration From Migration to Lymph Node Lymph Node CD28 IL-2 Harlin et al, 2009; Gajewski et al, 2006.
  • 17. Theoretical Reasons for Failure of Immune System to Prevent Cancer Outgrowth  Failure to activate specific T cells – Inadequate antigen processing/presentation – Insufficient T-cell repertoire – Available T cells below activation threshold setpoint  Ineffective T-cell differentiation into effector cells  Inadequate expansion of T cells to needed frequency  Lack of homing of primed T cells to tumor sites  Immunosuppression in tumor microenvironment – CTLA-4 on T cells (inhibitory receptor) – PD-1 on T cells (binds PD-L1 on tumor cells) – T-cell anergy (deficient B7 costimulation) – CD4+CD25+FoxP3+ Tregs (extrinsic suppression) – Indoleamine-2,3-dioxygenase (IDO tryptophan catabolism) Gajewski et al, 2007; Zou, 2005.
  • 18. Model for CD8+ T-Cell-Mediated Anti-Tumor Immune Response In Vivo: Interventions TLR ligands Blockade of suppression MHC I MHC II Immature DC Migration From Tumor Vaccines Tumor granzymes TCR eCD8 B7 Costimulation APC Mature DC Cytokines Chemokines Lymph Node eCD8 nCD8 Migration From Migration to Lymph Node Lymph Node CD28 IL-2 Harlin et al, 2009; Gajewski et al, 2006.
  • 19. Model for CD8+ T-Cell-Mediated Anti-Tumor Immune Response In Vivo: Interventions (cont.) TLR ligands Blockade of suppression MHC I MHC II Immature DC Migration From Tumor Vaccines Tumor granzymes TCR eCD8 B7 Costimulation APC Mature DC Cytokines Chemokines Lymph Node eCD8 nCD8 Migration From Migration to Lymph Node Lymph Node CD28 IL-2 Harlin et al, 2009; Gajewski et al, 2006.
  • 20. Toll-Like Receptors (TLRs)  First identified in Drosophila as receptor recognizing pathogens for innate immunity  At least 11 mammalian homologues identified  Expressed on DCs and other APCs  Mediate activation and maturation of APCs to render them optimal for T-cell activation  Ligands should be excellent vaccine adjuvants Discovery of Innate Immune Sensing Systems by Bruce Beutler and Jules Hoffmann Earned Nobel Prize in 2011 Takeda et al, 2004.
  • 21. TLR Pathway Plants Drosophila Mammals PAM P Protease PAM Spätzle P IL-1 Toll TLR4 IL-1R Extracellular Pathogen Cytoplasm or PAMP MyD88 TIRAP MyD88 MyD88 RPP5, N, L6 Immune response Immune response Immune response Triggers activation of dendritic cells and other APCs Medzhitov et al, 2001.
  • 22. Imiquimod for Basal Cell Carcinoma (BCC)  Imiquimod is a TLR7 agonist that activates DCs  Randomized clinical trial done in patients with BCC  100% RR with BID dosing compared to 19% with vehicle alone!  Also active on warts and cutaneous metastases of melanoma  Other TLR ligands are in clinical trials, including CpG 7909 (TLR9 agonist)  TLR agonists being combined with tumor antigens in cancer vaccines (eg, GSK-Bio MAGE3 vaccine) RR = response rate. Sapijaszko, 2005; Goldman et al, 2009.
  • 23. Key Takeaways  CD8+ T cells can recognize neoantigens expressed by tumor cells  In order for antigen-specific T cells to become activated to differentiate into cytolytic effector cells, they need to be stimulated by activated DCs in lymph nodes  DCs must be activated via innate immune sensing pathways (TLRs)  Activated CTL recirculate and traffic tumor tumors where they have a chance to destroy cancer cells  In cancer, failure can occur at various stages of this process, which generates multiple opportunities for therapeutic intervention CTL = cytotoxic T lymphocyte.
  • 24. Melanoma: A Classic Tumor Model for Immunotherapy Thomas F. Gajewski, MD, PhD The University of Chicago Medicine
  • 25. Model for CD8+ T-Cell-Mediated Anti-Tumor Immune Response In Vivo: Interventions (cont.) Blockade of suppression MHC I MHC II Immature DC Migration From Tumor Vaccines Tumor granzymes TCR eCD8 B7 Costimulation APC Mature DC Cytokines Chemokines Lymph Node eCD8 nCD8 Migration From Migration to Lymph Node Lymph Node CD28 IL-2 Harlin et al, 2009; Gajewski et al, 2006.
  • 26. Model for CD8+ T-Cell-Mediated Anti-Tumor Immune Response In Vivo: Interventions (cont.) Blockade of suppression MHC I MHC II Immature DC Migration From Tumor Vaccines Tumor granzymes TCR eCD8 B7 Costimulation APC Mature DC Cytokines Chemokines Lymph Node eCD8 nCD8 Migration From Migration to Lymph Node Lymph Node CD28 IL-2 Harlin et al, 2009; Gajewski et al, 2006.
  • 27. Immunization Modalities  Antigen delivery strategy – Targeting endogenous APCs • Synthetic peptides or protein in adjuvant • Recombinant viruses, bacteria • Irradiated tumor transfectants • Antigen/antibody complexes • Antigen/TLR ligand fusions • Plasmids (CpG oligonucleotides) – Ex vivo loaded APCs • Peptide, protein, tumor lysates, etc.  Additional modulators – Cytokines, adjuvants, modulatory antibodies
  • 28. Induction of Specific CTL Responses in Mice Using Tumor Antigen Peptide-Loaded PBMC + IL-12 PBMC-P1A PBMC-P1A + IL-12 PBMC + IL-12 PBS Percent Specific Lysis E:T Ratio PBMC = peripheral blood mononuclear cells; IL-12 = interleukin-12. Fallarino et al, 1999.
  • 29. Resolution of Subcutaneous Metastases Following Immunization With MelanA Peptide-Pulsed PBMC + rhIL-12 After 3 Vaccines After 9 Vaccines ORR ~ 10%, With Another 20% SD rhIL-12 = recombinant human IL-12; ORR = overall response rate; SD = stable disease. Peterson et al, 2003.
  • 30. Vaccination of Patients With Multiple Melanoma Antigen Peptides + IL-12 Can Induce High Levels of Functional Specific T Cells in the Blood However, only a minority of patients (10%) have clinical responses. (Why? – We will return to this question later [predictive biomarkers]) Peterson et al, 2003.
  • 31. Model for CD8+ T-Cell-Mediated Anti-Tumor Immune Response In Vivo: Interventions (cont.) Blockade of suppression MHC I MHC II Immature DC Migration From Tumor Vaccines Tumor granzymes TCR eCD8 B7 Costimulation APC Mature DC Cytokines Chemokines Lymph Node eCD8 nCD8 Migration From Migration to Lymph Node Lymph Node CD28 IL-2 Harlin et al, 2009; Gajewski et al, 2006.
  • 32. CTLA-4 Blockade for Immunopotentiation  CTLA-4 is receptor induced on activated T cells  Ligation inhibits T cell activation  CTLA-4 deficient mice develop autoimmunity  dominant role is negative  Two defined ligands expressed largely on APC populations: B7-1 and B7-2  Neutralizing mAbs against CTLA-4 augment T-cell activation and promote tumor rejection in several mouse models  Two anti-CTLA-4 mAbs explored in clinical trials  Ipilimumab approved by FDA in 2011 CTLA-4 = cytotoxic T lymphocyte antigen-4; mAbs = monoclonal antibodies. Pardoll, 2012; YervoyTM prescribing information, 2012.
  • 33. CTLA-4 Is a Negative Regulator of T-Cell Activation Resting T Cell Activated T Cell B7 B7 CD28 CD28 T Cell TCR APC T Cell TCR APC CTLA4 B7 Pardoll, 2012; Korman et al, 2006.
  • 34. Randomized Study of Vaccine Vs. Ipilimumab Vs. Combination in Advanced Melanoma Ipi = ipilimumab. Hodi et al, 2010.
  • 35. Clinical Response in Melanoma With Single Agent Anti-CTLA-4 mAb Screening Week 12: Progression Week 20: Regression Week 36: Still Regressing Wolchok et al, 2008.
  • 36. T-Cell Infiltration in Skin and Gut Following Anti-CTLA-4 mAb Treatment Sarnaik et al, 2009.
  • 37. Model for CD8+ T-Cell-Mediated Anti-Tumor Immune Response In Vivo: Interventions (cont.) Blockade of suppression MHC I MHC II Immature DC Migration From Tumor Vaccines Tumor granzymes TCR eCD8 B7 Costimulation APC Mature DC Cytokines Chemokines Lymph Node eCD8 nCD8 Migration From Migration to Lymph Node Lymph Node CD28 IL-2 Harlin et al, 2009; Gajewski et al, 2006.
  • 38. IL-2 in Melanoma: RR 16% Atkins et al, 1999.
  • 39. Modified gp100 Peptide in Montanide +/- Exogenous IL-2  Additional 19 patients treated with high-dose IL-2 after gp100 209M vaccination  In this study, 8 patients (42%) showed objective tumor regression  Suggests IL-2 may help expand relevant T cells or support their trafficking  Caveat: Effect of IL-2 alone? Rosenberg et al, 1998.
  • 40. High-Dose IL-2 ± Peptide Vaccine Phase III Schwartzentruber et al, 2011.
  • 41. Model for CD8+ T-Cell Mediated Anti- Tumor Immune Response In Vivo (cont.) MHC I MHC II Immature DC Migration From Tumor Tumor granzymes TCR eCD8 B7 APC Mature DC Adoptive T-cell therapy eCD8 nCD8 Migration From Migration to Lymph Node Lymph Node CD28 IL-2 Harlin et al, 2009; Gajewski et al, 2006.
  • 42. Adoptive T-Cell Therapy  T cells are isolated, from tumor site or generated in vitro Adoptive transfer  Ex vivo enrichment and into expansion of antigen-specific patient In vitro effector T cells expansion and activation  T cells are reintroduced back to the patient T cells  Usually the patient is isolated “conditioned” first with lympho from depleting chemotherapy or patient other agents Yee, 2009.
  • 43. TIL Therapy for Melanoma: Rosenberg Approach  Tumor harvested, TILs collected and expanded for infusion  In interim, patients receive lymphoablative chemotherapy to “make space”  T cells are transferred and patients are given IL-2  Results: 6 of 13 patients responded TILs = tumor-infiltrating lymphocytes. Dudley et al, 2003.
  • 44. Phase II Trial: Adoptive-Cell Therapy • Stage IV melanoma (N = 35) • Received autologous, tumor- reactive, expanded tumor- infiltrating lymphocytes + IL-2 after lymphodepleting conditioning with cyclophosphamide and fludarabine • Results – 3 CR; 15 PR (RR: 51%; DOR: 11.5 mos) – Adoptively transferred CTLs persisted in several patients > 1 year • > 50% RR has held up with further studies CR = complete response; PR = partial response; RR = response rate; DOR = duration of response. Dudley et al, 2005.
  • 45. Model for CD8+ T-Cell-Mediated Anti-Tumor Immune Response In Vivo: Interventions (cont.) Blockade of suppression MHC I MHC II Immature DC Migration From Tumor Vaccines Tumor granzymes TCR eCD8 B7 Costimulation APC Mature DC Cytokines Chemokines Lymph Node eCD8 nCD8 Migration From Migration to Lymph Node Lymph Node CD28 IL-2 Harlin et al, 2009; Gajewski et al, 2006.
  • 46. Hypothesis  Clinical benefit when it does occur with potent cancer vaccines (and other immunotherapies) has generally not correlated with T cell responses as measured in the blood  Features of the tumor microenvironment could dominate at the effector phase of the anti-tumor T-cell response – T-cell trafficking into tumor – Immune suppressive mechanisms at tumor site – Tumor cell biology and susceptibility to immune-mediated killing – Complexities of the tumor stroma (vasculature, fibrosis)  Reasoned these features could be interrogated through pre- treatment gene expression profiling of tumor site in each individual patient  Such an analysis could identify a predictive biomarker profile associated with clinical response, and also highlight new biologic barriers that need to be overcome to optimize therapeutic efficacy of vaccines Gajewski et al, 2009.
  • 47. Expression of a Subset of Chemokine Genes Is Associated With Presence of CD8 Transcripts CD8b CCL2 CCL4 CCL5 CXCL9 CXCL10 CCL19 CCL21 Harlin et al, 2009.

Editor's Notes

  1. Figure 2. T cell and dendritic cell interaction in draining lymph nodes.
  2. Figure 2. T cell and dendritic cell interaction in draining lymph nodes.
  3. Phase I trial of ipilimumab (IPI) alone and in combination with radiotherapy (XRT) in patients with metastatic castration resistant prostate cancer (mCRPC). Beer TM, et al. Journal of Clinical Oncology. ASCO Annual Meeting Proceedings. 2008;26(15S): Abstract 5004.
  4. From Jedd ’s article: A male patient aged 52 years from study 2 had resection of an isolated retroperitoneal metastasis in 2004 and then developed recurrent disease in visceral lymph nodes and soft tissue in 2006. He was treated with high-dose IL-2, but unfortunately, after 2 cycles of therapy, a computed tomography (CT) scan performed in July revealed progression of disease. Ipilimumab was started in November 2006, at which time he had soft tissue disease of the chest wall and pelvis, retroperitoneal metastasis, and iliac nodal disease. The patient exhibited PD on clinical exam through week 10 of ipilimumab administration with discomfort due to enlargement of an axillary mass. Radiographic analysis at week 12 in fact revealed enlargement of multiple subcutaneous masses. However, when the patient was examined a few days later at his week 12 visit, he reported shrinkage of his palpable tumors in the axilla and abdominal wall and this was confirmed on physical exam. These radiographic and clinical findings are consistent with an initial increase in tumor size through week 10 followed by a decrease in size. The initial tumor enlargement was suspected to be caused by inflammation. The only toxicity he experienced was a mild erythematous rash and discomfort at the site of the axillary mass, perhaps related to inflammation. The patient received 4 doses of induction on study 2, but was then taken off study at week 12 for progression of disease. He was then enrolled on study 3, where he has exhibited slow regression of palpable lesions through 4 additional doses of ipilimumab given as re-induction therapy, reached a partial response (PR) at week 31 and his PR is ongoing now at week 48 after initial ipilimumab therapy. He continues to receive maintenance dosing q12wk.
  5. Tannock IF, de Wit R, Berry WR, et al. Docetaxel plus prednisone or mitoxantrone plus prednisone for advanced prostate cancer. N Engl J Med . 2004;351:1502-1512.
  6. Outline: 1) Brief history of immunotherapy, which is really a history of single agent immunotherapy. 2) A. Introduce immunological checkpoints and checkpoint blockade describing interesting data on the potential for single agent efficacy 3) New data showing how conventional therapy, especially radiotherapy can have immunological effects 4) Show some data on combination immunotherapy which is the future
  7. Haraoka et al, British Journal Cancer 2006: 94:275-80 (Japan) Kaplan – Meier analysis of overall survival according to the simultaneous presence of high levels of infiltrating CD8þ T cells and CD4þ T cells in cancer stroma in patients with NSCLC.
  8. Ruffini et al, Annals Thorcic Surgery 2009; 87:365-72 (Italy) Survival according to the presence or absence of tumor-infiltrating lymphocytes (TIL) in total population of patients with lung neoplasms who underwent resection (p = 0.20).
  9. Kawai et al, Cancer 2008; 113:1387-95 (Japan) Kaplan-Meier analysis of overall survival is shown according to distribution in 4 groups of macrophages and CD81 T cells. Patients whose tumors contained macrophages in the nest and more CD81 T cells in the nest had significantly better survival (macrophages, nest > stroma; CD81 T cells, nest > stroma) than patients with macrophages nest > stroma and CD81 T cells nest < stroma (P 5 .0070), patients with macrophages nest < stroma and CD81 T cells nest > stroma (P 5 .0010), and patients with macrophages nest < stroma and CD81 T cells: nest < stroma (P < .0001).
  10. Dieu-Nosjean et al, JCO 2008, 26: 4410-17 (France) Evaluation of DC-Lamp as a marker of tumor-induced bronchus- associated lymphoid tissue (Ti-BALT) and its prognostic value. Kaplan-Meier curves of disease-free survival for 74 patients with non–small-cell lung cancer depending on the density of tumor-infiltrating DC-Lamp+ mature DC.
  11. Al-Shibli et al, Histopathology 2009, 55: 301-12 (Norway)Disease-specific survival curves for stromal CD56+ cells in NSCLC.
  12. Immunologic synapse. Target recognition by T cells is two-step process. Specific interaction of T-cell receptor (TCR) with major histocompatibility complex (MHC) –peptide complexes displayed by tumor cells or antigen-presenting cells (APCs; eg, dendritic cells) provides first signal for T-cell recognition. Second event is coregulatory signal that determines whether T cell will become activated or anergic (nonreactive). T-cell coreceptors transmitting stimulatory (+) or inhibitory (-) signals on engagement of specific ligands expressed by tumor cells or APCs are depicted. Molecules in B7-CD28 and tumor necrosis factor receptor (TNFR) families are now being targeted for cancer immunotherapy.
  13. PD-1 and CTLA-4 play distinct roles in regulating T cell immunity. CTLA-4 modulates the early phases of activation of naı¨ve or memory T cells in response to TCR stimulation by MHC-peptide complexes displayed by antigen presenting cells ( ‘signal 1’). In contrast, PD-1 is expressed on antigenexperienced T cells in the periphery, and serves to limit the activity of T cells at the time of an inflammatory response, thereby protecting normal tissues from collateral destruction.
  14. Two cohorts: NSCLung and Small Cell ED Lynch et al, WCLC 2011, ESMO 2010, Reck et al WCLC 2011
  15. Lynch et al, WCLC 2011, ESMO 2010, Reck et al WCLC 2011
  16. Lynch et al, WCLC 2011, ESMO 2010, Reck et al WCLC 2011 Phased schedule significantly improved mWHOPFS • No significant improvement for concurrent schedule The study met its primary endpoint of significantly improved irPFS in NSCLC for the Phased-ipilimumab regimen Significant improvement in mWHO-PFS and a trend for improved OS Subset analysis appeared to show greater efficacy in squamous than non-squamous patients with Phased-ipilimumab Small sample size warrants caution in interpretation Safety profile in this trial generally consistent with previous ipilimumab studies Safety profiles for squamous and non-squamous appeared similar No apparent exacerbation of toxicities seen with chemotherapy alone Adverse events generally manageable using protocol-defined treatment guidelines Kaplan-Meier Plots for progression-free survival per modified WHO criteria (mWHO-PFS). Per modified WHO criteria (mWHO), a reduction in index lesions by ≥ 25% or any new lesions (measurable or not) or a progression of nonindex lesions were considered an mWHO progression. mWHO-PFS was defined as the time from random assignment to mWHO progression (as determined by an independent radiologic review committee) or death. As indicated by symbols, patients who neither progressed nor died were censored on the date of last tumor assessment. P values were based on an unstratified log-rank test with a one-sided a of 0.1. HR, hazard ratio; Ipi, ipilimumab. (A) Control v phased Ipi.
  17. Lynch et al, WCLC 2011, ESMO 2010, Reck et al WCLC 2011
  18. Lynch et al, WCLC 2011, ESMO 2010, Reck et al WCLC 2011 Phased ipilimumab + chemotherapy appeared to show improved efficacy in first-line ED-SCLC vs. chemotherapy alone Improvement in irPFS Numerically higher irBORR Trend for improved OS Concurrent-ipilimumab regimen showed no such activity Safety profile in this trial generally consistent with previous ipilimumab studies Ipilimumab did not appear to exacerbate toxicities observed with chemotherapy alone Adverse events were generally manageable using protocol-defined treatment guidelines Results of this study support further investigation of the phased-ipilimumab regimen in previously untreated ED-SCLC
  19. Konishi et al, Clinical Cancer Research 2004; 10:5094-100 Representative immunohistochemical staining in B7-H1-posi tive tumor regions (A) and B7-H1-negative tumor regions (B) on the same non-small cell lung cancer sections. On consecutive tumor sections, TILs were identified by CD45 staining (C and D), and PD-1 expression was identified immunohistochemically (E and F). A low proportion of TILs in B7-H1-positive tumor regions is shown in C. A high proportion of TILs in B7-H1-negative tumor regions is shown in D. Expression of PD-1 is lower on TILs in B7-H1-positive tumor regions (E) compared with that on TILs in B7-H1-negative tumor regions (F). Scale bar, 100 um.
  20. Brahmer, Drake, Powderly, Topalian et al, JCO 2010 28:3167
  21. Brahmer, Drake, Powderly, Topalian et al, JCO 2010 28:3167
  22. ASCO 2012, Brahmer J, et al Chart subscripts: a= Response evaluable patients. B = CR or PR = OR C= unconfirmed PR D= Response rate (OR +uPR) / n
  23. This patient is still in a durable partial remission at 3 years later
  24. T. De Pas, et al , Critical Reviews in Oncology/Hematology, 2012 (Italy) L-BLP25 = Stimuvax; EGF = CIMAvax; belagenpumatucel-1 = Lucanix survival; tumor-free, overall, pro-gression free (STOP) trial in NSCLC. Here the vaccine is made up of four NSCLC cell lines that are engineered to express an anti-sense to TGF- 2 that decreases the expres- sion of this immunosuppressive cytokine [49]. The results of the phase II trial were encouraging demonstrating safety of the patients and some clinical response. The results of the phase III trial are expected in October 2011[50]. MAGE-A3 (melanoma associated antigen A3) expressed in 35-48%% of NSCLC ’s AS15 Adjuvant = A vaccine adjuvant containing CpG 7909, monophosphoryl lipid, and QS-21 with potential antineoplastic and immunostimulatory activities. CpG 7909 is a synthetic 24-mer oligonucleotide containing 3 CpG motifs that selectively targets Toll-like receptor 9 (TLR9), thereby activating dendritic and B cells and stimulating cytotoxic T cell and antibody responses against tumor cells bearing tumor antigens. Monophosphoryl lipid is a detoxified derivative of lipid A, a component of Salmonella minnesota lipopolysaccharide (LPS); this agent may enhance humoral and cellular responses to various antigens. QS-21 is a purified, naturally occurring saponin derived from the South American tree Quillaja saponaria Molina and exhibits various immunostimulatory activities. Combinations of monophosphoryl lipid and QS-21 may be synergistic in inducing humoral and cellular immune responses. Check for active clinical trials or closed clinical trials using this agent. ( NCI Thesaurus) About half of all NSCLC patients whose tumours have been completely removed by surgery have a recurrence within two years. A phase II trial of the MAGE-A3 ASCI in these patients with completely resected NSCLC expressing MAGE-A3 showed 25% fewer recurrences among patients at the final analysis, and the difference between the two arms has held now for almost six years. The phase III trial, which aims to enrol around 2300 NSCLC patients positive for the MAGE-A3 antigen – “the largest lung cancer trial ever conducted in the adjuvant setting” – is being carried out using a ‘new and improved’ immunological adjuvant, which GSK hopes will give even better results.
  25. R. Sangha, C. Butts, Clinical Cancer Research 2007; 13:4652-54 an open-label randomized phase II trial was undertaken (21). Patients with stable disease or responding stage IIIB or IV NSCLC after any first-line chemotherapy were randomly assigned to either L-BLP25 plus best supportive care or best supportive care alone. Patients in the L-BLP25 arm received a single i.v. dose of cyclophosphamide (300 mg/m2)followed by eight weekly s.c. immunizations of L-BLP25 (1,000 A g). Subsequent immunizations were administered at 6-week intervals. Updated survival analysis, with median follow-up of 53 mo, for stage IIIB locoregional patients.Median survival 30.6mo (mo) for L-BLP25^ treated patients, and 13.3 mo for best supportive care (BSC).
  26. R. Ramlau et al, Journal of Thoracic Oncology, 2008;3: 735-44 A multicenter, randomized phase II study has explored two schedules of the combination of TG4010 with first line chemotherapy in patients with stage IIIB/IV non-small cell lung cancer. In Arm 1, TG4010 was combined upfront with cisplatin (100 mg/m2 day 1) and vinorelbine (25 mg/m2 day 1 and day 8). In Arm 2, patients were treated with TG4010 monotherapy until disease progression, followed by TG4010 plus the same chemotherapy as in Arm1. Response rate was evaluated according to RECIST. Median time to progression and median overall survival were calculated according to the Kaplan–Meier method. Results: Sixty-five patients were enrolled, 44 in Arm 1 and 21 in Arm 2, in accordance with the two stage Simon design of the statistical plan. In Arm 1, partial response was observed in 13 patients out of 37 evaluable patients (29.5% of the intent to treat population, 35.1% of the evaluable patients). In Arm 2, two patients experienced stable disease for more than 6 months with TG4010 alone (up to 211 days), in the subsequent combination with chemotherapy, one complete and one partial response were observed out of 14 evaluable patients. Arm 2 did not meet the criteria for moving forward to second stage. The median time to progression was 4.8 months for Arm 1. The median overall survival was 12.7 months for Arm 1 and 14.9 for Arm 2. One year survival rate was 53% for Arm 1 and 60% for Arm 2. TG4010 was well tolerated, mild to moderate injection site reactions, flu-like symptoms, and fatigue being the most frequent adverse reactions. A MUC1-specific cellular immune response was observed in lymphocyte samples from all responding patients evaluable for immunology. Conclusions: The combination of TG4010 with standard chemotherapy in advanced non-small cell lung cancer is feasible and shows encouraging results. A randomized study evaluating the addition of TG4010 to first line chemotherapy in this population is in progress OS according to cellular immune response against MUC1 for the whole study population. Patients with (-------) or without (——) MUC1-specific ELISpot at any timepoint. O = complete data, + = censored. Differences between the 2 populations are statistically significant with p = 0.001.
  27. E Vinageras, et al, JCO 2008; 26: 1452-58 (Cuba) Survival functions for patients younger than 60 years (vaccinated, n = 22; controls, n = 28; log-rank P = .0124).
  28. MAGE-A3 (melanoma associated antigen A3) expressed in placenta and testes, not in normal cells, but + in 35-48%% of NSCLC ’s AS15 Adjuvant = A vaccine adjuvant containing CpG 7909, monophosphoryl lipid, and QS-21 with potential antineoplastic and immunostimulatory activities. CpG 7909 is a synthetic 24-mer oligonucleotide containing 3 CpG motifs that selectively targets Toll-like receptor 9 (TLR9), thereby activating dendritic and B cells and stimulating cytotoxic T cell and antibody responses against tumor cells bearing tumor antigens. Monophosphoryl lipid is a detoxified derivative of lipid A, a component of Salmonella minnesota lipopolysaccharide (LPS); this agent may enhance humoral and cellular responses to various antigens. QS-21 is a purified, naturally occurring saponin derived from the South American tree Quillaja saponaria Molina and exhibits various immunostimulatory activities. Combinations of monophosphoryl lipid and QS-21 may be synergistic in inducing humoral and cellular immune responses. Check for active clinical trials or closed clinical trials using this agent. ( NCI Thesaurus) About half of all NSCLC patients whose tumours have been completely removed by surgery have a recurrence within two years. A phase II trial of the MAGE-A3 ASCI in these patients with completely resected NSCLC expressing MAGE-A3 showed 25% fewer recurrences among patients at the final analysis, and the difference between the two arms has held now for almost six years (but the disease free interval and DFS were not statistically significant). The phase III trial, which aims to enrol around 2300 NSCLC patients positive for the MAGE-A3 antigen – “the largest lung cancer trial ever conducted in the adjuvant setting” – is being carried out using a ‘new and improved’ immunological adjuvant, which GSK hopes will give even better results.
  29. Left image: Right image: Immunohistochemical stains of renal cancer tissue using the MN-75 anti-CAIX antibody representative of high CAIX staining. Table: The proposed new model for combining pathology predictive group with CAIX staining. Three pathologic risk groups previously reported by Upton et al. can theoretically be collapsed into two groups having distinct response rates to IL-2 therapy and survivals.
  30. Hodi et al, DFHCC Melanoma Phase I, ASCO 2011 #8511
  31. As per previous slide, but with MDSC this time
  32. Figlin et al, 2012 – ASCO. Presented at the Genitourinary Cancers Symposium.
  33. Figlin et al, 2012 – ASCO. Presented at the Genitourinary Cancers Symposium.
  34. IMA091 is a vaccine comprised of multiple RCC tumor-associated peptides
  35. Slide 22
  36. Synthroid = levothyroxine sodium tablets, USP
  37. While 1, 2 and 4 are wrong the rest or not either wrong or right. Ask panel which they favor also ask if they use nomograms to assess risk.
  38. Again no “right answer” 5 will be wrong. To some extent 3 and 4 will be wrong. Ask panel which they favor – extent of postive margin, number of LN
  39. Again no “right answer”
  40. Point is that patient now has CRPC. Is definition the same everywhere?
  41. Again no right answer in my mind – with the clear issue that nothing is approved in this space. Thoughts?
  42. Point is that patient now has CRPC. Is definition the same everywhere?